{"id":"W2589158462","doi":"10.18553/jmcp.2017.23.3.355","title":"Prescription Drug Utilization and Reimbursement Increased Following State Medicaid Expansion in 2014","year":2017,"lang":"en","type":"article","venue":"Journal of Managed Care & Specialty Pharmacy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Reimbursement; Medical prescription; Medicine; Prescription drug; Quarter (Canadian coin); Family medicine; Medicare Part D; Health care; Emergency medicine; Nursing; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346005,0.0001311073,0.0002036595,0.0008478169,0.0004398335,0.0008834629,0.0005226558,0.0004843775,0.001532743],"category_scores_gemma":[0.006778686,0.0002259002,0.000644899,0.001266567,0.0003579978,0.0008214684,0.00121938,0.00105025,0.0001074119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520343,"about_ca_system_score_gemma":0.002550523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0474919,"about_ca_topic_score_gemma":0.0707022,"domain_scores_codex":[0.9988079,0.0002325711,0.0001495113,0.0002034738,0.0003380647,0.0002684564],"domain_scores_gemma":[0.9948589,0.0007539091,0.003121691,0.0001485002,0.000717659,0.0003994693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172134,0.0001003702,0.9939255,0.00002679337,0.00007408081,0.00005432515,0.0002446081,0.0002176667,0.0001956671,0.0001186225,0.0007531051,0.004172145],"study_design_scores_gemma":[0.000004235812,0.00003543198,0.9986749,0.00001473023,0.00002388935,0.00005186395,0.0002339008,0.0003905564,0.000121156,0.0000327872,0.0004129463,0.000003596818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970232,0.0001542709,0.0001353169,0.0004765736,0.000008648744,0.00002295124,0.001410981,0.00001671771,0.0007513916],"genre_scores_gemma":[0.9978682,0.0001257814,0.0001866729,0.0001899836,0.00001752045,0.00002530379,0.001318234,0.000002942142,0.0002653748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0474919,"threshold_uncertainty_score":0.09443092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06662123829369185,"score_gpt":0.3341867324161187,"score_spread":0.2675654941224268,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}